Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models
Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques.In particular, we utilized autoencoder-based deep learning models for unsupervised learning Conditioners using only normal training vibration data.Datasets were generated from South Korean high-speed train data, and seismi